— The Adjudicator –
From Multi-AI Disagreement
to Decision Direction
The Adjudicator reads every hallucination, contradiction, correction, and blind spot across your AI conversation — then tells you exactly what to do about them.
—
One button. One structured brief. Recommended direction, unresolved disputes, uncontested risks, correction ledger, and exactly one next action.
five frontier models
// Classifies factual, strategic,
and implementation disputes
// Exportable brief
with full audit trail
Available on Pro ($45/mo), Frontier ($95/mo), and Enterprise plans.
More Signal Than You
Can Process Manually
Multi-model gives you genuine disagreement. That is the point.
When Perplexity pulls a confident citation and Claude calls it irrelevant, that is signal. When GPT flags a risk and Grok dismisses it, that is evidence of independent analysis. Five models producing 70+ observations per session creates something single-AI chat never can: a genuine second opinion from an independent AI, repeated five times over.
But who is right? Which disagreements actually change your decision? Which risks did only one model notice — and should you care?
The data is there. What is missing is judgment.
You could read every response, fact-check every claim yourself, and manually track every contradiction. That is the same exhausting AI fact checking you were doing across browser tabs before — just now it is happening inside one interface.
Nobody will read 70 individual observations across five models to figure out which ones matter.
The Adjudicator does that job for you.
Three Layers. One Decision.
The Adjudicator sits on top of two systems already running in every Suprmind conversation. Each layer does a different job.
Scribe gives you the baseline. DCI gives you the stress test.
The Adjudicator tells you what to do about the gap between them.
One Button. One Structured Brief.
Hit “Generate Decision Brief” in the sidebar. The Adjudicator synthesizes your session into six structured components:
Not a summary. Not a list of options. A recommendation with reasoning, open questions, and a concrete next step.
Recommended Direction
One clear action, verb-first. Not a list of possibilities. A direct headline with rationale and confidence level (high, medium, low).
Why This Direction
Which points of agreement and which specific disagreements were decisive. Not “the models had different views.” Which models. On what. Why one position holds up better.
Unresolved Disagreements
Genuine conflicts the Adjudicator will not pretend to resolve. Strategic disputes get assumptions exposed. Factual disputes without cited evidence get flagged as UNRESOLVED with a verification method.
Uncontested Risks
AI blind spot detection in action. Things only one model noticed that nobody argued against — because nobody else saw them. Source attribution and mitigation suggestion included.
Correction Ledger
Every factual error one model caught in another, formatted as a to-do list. Issue, source, severity, and required action. Mistakes become follow-up, not confusion.
Next Action
Exactly one immediate step. Not three options. Not a prioritized list. One concrete, executable action based on everything above.
That is the difference between “five AIs disagreed” and “now I know what to do.”
Run your next question through five models. See where they agree. See where they disagree. Export the verdict.
7-day free trial. No credit card required.
Not all disagreements
are equal.
A factual error is different from a strategic difference of opinion. The Adjudicator classifies each disagreement type and handles it accordingly — instead of forcing everything into fake consensus.
This is the core reasoning that separates the Adjudicator from a summary layer. It does not just count conflicts. It decides what each one means.
Why confidence is not evidence.
Carnegie Mellon research found that AI outputs are 34% more likely to use definitive language when generating incorrect information. The wronger it gets, the more certain it sounds.
The Adjudicator does not pick winners based on which model sounds more confident. It fact-checks whether either side cited evidence. If neither did, the dispute stays open.
- Factual disputes: resolved only when one side has cited evidence
- Strategic disputes: assumptions exposed, not forced into winners
- Implementation disputes: identifying which constraints would resolve it
- Segmentation disputes: naming the audiences and recommending priority
- AI blind spot detection: uncontested risks surfaced with source and mitigation
- Full audit trail in every exported brief
If one cited a source and the other did not, Adjudicator favors the cited claim. If both or neither cite — flagged as UNRESOLVED FACTUAL with verification method.
Neither is wrong — they assume different audiences. Adjudicator surfaces the assumptions: choose based on where your traffic actually comes from.
Under 5 engineers, Gemini’s approach has lower operational overhead.
A single model cannot
genuinely disagree with itself.
Custom instructions can tell a model to “consider counterarguments.”
Extended thinking can reason through competing positions.
But the counterarguments come from the same training data, the same weights, the same blind spots.
A model cannot catch its own hallucinations because it does not know which parts of its output are fabricated. When you ask one AI to role-play opposition, you get performed criticism — not a genuine second opinion. AI second opinions require independent models with different training data.
The Adjudicator works because the disagreements it synthesizes are real. Five different models from five different companies, trained on different data with different architectures, produced genuinely independent responses. When Claude corrects Perplexity, it is applying a different knowledge base to the same question and reaching a different conclusion.
Single-vendor “council mode” can simulate debate.
It cannot produce calibrated, measured disagreement from independent sources.
The DCI proves the disagreement happened. The Adjudicator tells you what it means.
From Question to
Decision Brief in Six Steps
Here is what the full workflow looks like:
DCI counts what happened
Contradictions, corrections, and unique insights — detected and quantified automatically per turn.
Scribe extracts consensus
Key insights, agreements, risks, and action items — extracted in real time as the conversation unfolds.
You click “Generate Decision Brief”
The Adjudicator synthesizes consensus + disagreement + your intent into one structured recommendation.
Export with audit trail
Download the brief as markdown. Full evidence trail: which Scribe entries and DCI items informed each section.
The result is not more noise. It is a clearer recommendation built from challenge, not trust.
Manual Synthesis Does Not Scale.
The Adjudicator Does.
If you already compare outputs across AI tools manually, you already believe in multi-model verification. The Adjudicator turns that manual habit into a structured system.
When the Adjudicator Adds Value —
and When It Does Not
Use it when:
The Scribe shows consensus but the DCI shows high contradiction counts. The consensus might be wrong. The Adjudicator stress-tests it against the evidence.
You need to hand off a decision to someone else. The exported brief is a self-contained document with recommendation, rationale, and evidence trail. Better than forwarding a chat transcript.
Multiple models gave you good but conflicting advice and you cannot decide which direction to take. The Adjudicator surfaces the assumptions behind each position so you can choose based on your actual constraints.
Skip it when:
The DCI shows zero contradictions and minimal corrections. If the council agreed, the Scribe already has what you need. The Adjudicator will mostly echo the consensus.
You need a comprehensive research report. That is what the Master Document Generator builds. The Adjudicator produces a decision brief — short, directive, actionable.
You are in the first round of a simple question. Run a few rounds of conversation first. The Adjudicator is most valuable when the DCI has genuine signal to work with.
What This Looked Like
in a Real Session
While building the Adjudicator itself, we ran the design through a 5-model session. One session produced 4 contradictions, 4 corrections, and 11 unique insights across two turns.
Perplexity claimed professionals do not worry about hallucination as their main risk. Claude ran a real-time search and found 979 documented cases of business impact from AI hallucinations — lawyers fined, CEOs nearly losing millions, EU enforcement actions.
GPT caught an internal documentation inconsistency: one document described the Decision Validation Engine as 5-stage, another as 6-stage. That went straight into the Correction Ledger.
Only Claude identified a direct competitor (Triall.ai) that no other model mentioned. That became an Uncontested Risk — a blind spot nobody argued against because nobody else saw it.
FAQ
Frequently Asked Questions
What people ask about the Adjudicator.
Is the Adjudicator just a summary of the conversation?
No. The Scribe summarizes what the council agreed on. The DCI tracks what they disagreed about. The Adjudicator is a third layer: it synthesizes agreement and disagreement together, stress-tests the consensus against the contradictions, and produces a specific recommendation with reasoning. Three different functions.
Can the Adjudicator do AI fact checking automatically?
The DCI layer runs automatically after every multi-model turn — it counts contradictions, corrections, and unique insights without any user action. That is the AI fact checking layer. The Adjudicator adds judgment on top: it reads the DCI results, decides which disagreements change the recommendation, and produces a structured brief. The fact checking is automatic. The adjudication is on-demand.
Is this like getting a second opinion from AI?
More like getting a fifth opinion. Each model in Suprmind responds independently — different training data, different architecture, different blind spots. The Adjudicator then synthesizes where those independent second opinions agree, where they conflict, and what the disagreement means for your decision. A second opinion AI that cannot see the first opinion’s work is just another isolated answer. The Adjudicator connects them.
What if the Adjudicator picks the wrong side of a disagreement?
For factual disputes, it only resolves them when one side has cited evidence and the other does not. If both cite evidence or neither does, the dispute is flagged as UNRESOLVED FACTUAL with a specific method for how to verify it. For strategic disputes, it does not pick sides — it surfaces the assumptions driving each position and lets you decide. The export includes the full audit trail.
How much does it cost per use?
Each Adjudicator call costs roughly $0.08-0.10, covered by your subscription budget. It is on-demand only — runs when you click the button, never automatically. You are not charged for analysis you did not ask for.
Can I use the Adjudicator on any conversation?
It works best on multi-round sessions where the DCI has detected disagreement. You can generate a brief on any session, but sessions with minimal contradiction will produce a brief that largely echoes the Scribe consensus. The feature is most powerful when the models genuinely disagreed about something that matters.
What model does the Adjudicator use?
Claude Opus 4.6 — the strongest reasoning model available. Synthesis and judgment require a model that can hold multiple competing arguments simultaneously and evaluate them against cited evidence. The DCI layer uses a faster model for detection; the Adjudicator uses a heavyweight for judgment.
What happens when all five models agree?
Contradiction count = 0. DCI will still show corrections and unique insights, since models often surface different angles even when they agree on conclusions. If the session has minimal DCI signal, the Adjudicator button is still available, but the Scribe is likely more useful in that scenario.
How is this different from the Decision Validation Engine (DVE)?
DVE is a standalone application requiring structured inputs: a decision statement, known risks, timeline, and options. It runs a multi-stage pipeline (clarify, red team, debate, synthesis, document generation). The Adjudicator is chat-native — it works from the natural conversation flow. They serve different workflows. DVE is for formal validation processes. The Adjudicator is for extracting actionable direction from any multi-AI conversation.
Can I export the brief?
Yes. The Export button downloads a markdown file containing the full brief plus an audit trail showing which Scribe entries and which DCI items were used to produce each section. You can share it with anyone — they get the conclusion and the evidence chain, not a 70-item observation dump.
Stop Reading Five AI Responses.
Start Getting One Clear Direction.
Run your next high-stakes question through five models instead of one. See where they agree, where they disagree, what risks emerge. Then hit one button and get a brief that tells you exactly what the disagreement means and what to do about it.
7-day free trial. No credit card required. Adjudicator available on Pro and above.
Disagreement is the feature. The Adjudicator is what makes it usable.
From five AI opinions to one clear direction — with the evidence trail to prove why.